GB Intelligence is transforming how Global Banking gets work done—bringing AI-driven insights and workflow automation into the heart of deal origination, market and sector intelligence, and client coverage.
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Banking - Global Banking Technology team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
You will help deliver high-impact, production-grade capabilities: building scalable and resilient services, engineering secure data flows, and integrating seamlessly with the tools bankers rely on every day (CRM, market data platforms, modeling environments, and document/compliance systems). You’ll turn complex client, deal, and market data into trusted insights and outputs—then operationalize them across downstream systems to accelerate execution, strengthen risk discipline, and elevate the day-to-day experience for Global Banking teams.
Job responsibilities
- Design and implement complex software components across backend services, APIs, and UI experiences using Java, Python, and React, applying sound engineering judgment and pragmatic architecture.
- Build and refine agentic capabilities using the Smart SDK, including tool integration, orchestration patterns, and safety/reliability guardrails suitable for production use.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Develop and optimize RAG pipelines end-to-end (ingestion, chunking, embeddings, retrieval, reranking, prompt/response patterns), improving relevance, latency, and robustness with OpenSearch and continuous measurement.
- Write secure, high-quality production code and raise the bar through code reviews, debugging, and hands-on mentorship—improving maintainability, performance, and consistency across the codebase.
Drive operational excellence by identifying recurring issues and implementing automation, preventative controls, and reliability improvements to reduce toil and improve system stability.
Engineer data and search solutions using PostgreSQL (schema design, migrations, query tuning) and OpenSearch (indexing strategies, query relevance tuning) to support AI and analytics workflows
- Contribute to cloud-native engineering on AWS, partnering on infrastructure-as-code with Terraform and improving deployment safety, environment consistency, and observability.
- Participate in technical evaluation sessions with internal partners and external vendors—assessing architecture, technical depth, and fit within existing platforms and information architecture.
- Champion modern engineering practices and knowledge-sharing, contributing to communities of practice and accelerating adoption of leading-edge technologies.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Strong hands-on expertise in Java/J2EE, Spring Boot, and microservices architecture, building secure, high-quality, production-grade systems.
- Proficiency with AWS, Terraform, GitHub, Jenkins, and modern developer tooling (e.g., GitHub Copilot).
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Databases: proficiency with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., DynamoDB, Redis, etc.), and GraphQL.
- Containerization: experience with Docker and container orchestration (ECS, EKS, or Kubernetes).
- Demonstrated experience developing, debugging, and maintaining software in a large corporate environment using one or more modern programming languages and database querying languages.
- Demonstrable ability to write high-quality code in one or more languages, with strong debugging and troubleshooting skills.
- Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
- Demonstrated expertise with monitoring/observability tools (e.g., Splunk, Datadog, Dynatrace, CloudWatch) and proven capability to lead high-performing teams by influence—driving innovation, maintaining strong team health, and owning the end-to-end performance cycle
- Experience across the full Software Development Life Cycle (SDLC), from design and implementation through testing, deployment, and production support.
- Exposure to agile engineering practices including CI/CD, application resiliency, and secure engineering.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering and 5+ years applied experience
- Strong hands-on expertise in Java/J2EE and Spring Boot
- Experience designing and building microservices architecture
- Proficiency with AWS and infrastructure-as-code using Terraform
- Proficiency with GitHub and CI/CD tooling (Jenkins) and modern developer tooling (e.g., GitHub Copilot)
- Demonstrated experience leading approved AI-assisted software development tools and validating AI outputs
- Strong understanding of responsible AI practices, data sensitivity, and secure handling of inputs/outputs
- Proficiency with relational databases (PostgreSQL, MySQL) and query tuning/schema design
- Experience with NoSQL databases (DynamoDB, Redis) and GraphQL
- Containerization experience with Docker and orchestration (ECS, EKS, or Kubernetes)
- Experience developing, debugging, and maintaining software in a large corporate environment
- Experience building and optimizing RAG pipelines (ingestion, chunking, embeddings, retrieval, reranking)
- Experience with monitoring/observability tools (Splunk, Datadog, Dynatrace, CloudWatch)
- Demonstrable ability to write high-quality production code and mentor engineers
- Experience across the full SDLC (design, testing, deployment, production support)
- Exposure to agile engineering practices including CI/CD, application resiliency, and secure engineering
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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